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توضیحات

A password guessing API.

ویژگی	مقدار
سیستم عامل	-
نام فایل	bruteloops-1.0.1
نام	bruteloops
نسخه کتابخانه	1.0.1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Justin Angel
ایمیل نویسنده	justin@arch4ngel.ninja
آدرس صفحه اصلی	https://github.com/arch4ngel/bruteloops
آدرس اینترنتی	https://pypi.org/project/bruteloops/
مجوز	-

# BruteLoops A dead simple library providing the foundational logic for efficient password brute force attacks against authentication interfaces. # Documentation Documentation can be found [*here*](https://arch4ngel.github.io/BruteLoops/). # If you're looking for the old example modules... See [BFG](https://github.com/arch4ngel/bl-bfg). The examples have been offloaded to a distinct project to minimize code and packaging issues. Database and attack capabilities have also been merged into a single binary. # Key Features - **Protocol agnostic** - If a callback can be written in Python, BruteLoops can be used to attack it - **SQLite support** - All usernames, passwords, and credentials are maintained in an SQLite database. - A companion utility (`dbmanager.py`) that creates and manages input databases accompanies BruteLoops - **Spray and Stuffing Attacks in One Tool** - BruteLoops supports both spray and stuffing attacks in the same attack logic and database, meaning that you can configure a single database and run the attack without heavy reconfiguration and confusion. - **Guess scheduling** - Each username in the SQLite database is configured with a timestamp that is updated after each authentication event. This means we can significantly reduce likelihood of locking accounts by scheduling each authentication event with precision. - **Fine-grained configurability to avoid lockout events** - Microsoft's lockout policies can be matched 1-to-1 using BruteLoop's parameters: - `auth_threshold` = Lockout Threshold - `max_auth_jitter` = Lockout Observation Window - Timestampes associated with each authentication event are tracked in BruteLoops' SQLite database. Each username receives a distinct timestamp to assure that authentication events are highly controlled. - **Attack resumption** - Stopping and resuming an attack is possible without worrying about losing your place in the attack or locking accounts. - **Multiprocessing** - Speed up attacks using multiprocessing! By configuring the parallel guess count, you're effectively telling BruteLoops how many usernames to guess in parallel. - **Logging** - Each authentication event can optionally logged to disk. This information can be useful during red teams by providing customers with a detailed attack timeline that can be mapped back to logged events. - **Breakers** - Breakers behave like circuit breakers. An exception can be raised *x* number of times before ending the attack loop. They can reset after a given period of time as well, allowing for configurations like "Exit after 6 ConnectionErrors occur". # Dependencies BruteLoops requires __Python3.7 or newer__ and [SQLAlchemy 1.3.0](https://www.sqlalchemy.org/), the latter of which can be obtained via pip and the requirements.txt file in this repository: `python3.7 -m pip install -r requirements.txt` # Installation ``` git clone https://github.com/arch4ngel/bruteloops cd bruteloops python3 -m pip install -r requirements.txt ```

نیازمندی

مقدار	نام
==1.4.0	sqlalchemy
>=3.6.3.0	billiard
-	pydantic

زبان مورد نیاز

مقدار	نام
>=3.9	Python

نحوه نصب

نصب پکیج whl bruteloops-1.0.1:

pip install bruteloops-1.0.1.whl

نصب پکیج tar.gz bruteloops-1.0.1:

pip install bruteloops-1.0.1.tar.gz